Detection and Optimization of Treatment of Severe Cases of Dry Eye Disease
ConditionDry Eye
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age21-99
SponsorSingapore National Eye Centre
About this trial
The bulk of dry eye patients are found in the community. The lack of satisfactory protocols and confidence is a significant deterrent for practitioners to manage such patients, which may result in inaccurate referrals, and unhappy patients. Problems are compounded by comorbidities of dry eye, even if these are not diagnosed formally.
Aligning with the healthcare strategy to move beyond healthcare to health, and beyond hospital care to community care, investigators propose that the confidence of primary carers be increased by using an image-based screening system.
This study aim to determine the efficacy of this screening AI algorithm, a prototype, in addition to or instead of screening of dry eye using a simple DEQ-5 symptom questionnaire.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
21 years old and above
Participants must be previously diagnosed with dry eye in the dry eye clinic (previous referred and had various forms of treatment such as artificial tears or prescription eyedrops)
Willing to perform all eye examinations and questionnaires in this study
Ability to provide informed consent
Disqualifiers
All subjects meeting any of the exclusion criteria at baseline will be excluded from participation and then list the criterion.
Any other specified reason as determined by clinical investigator
Trial population
dry eye patients
Trial design
Design model
Cohort
Time perspective
Cross-sectional
Treatments tested in this trial
Not listed
Trial groups
No trial groups listed
Trial outcomes
Primary outcomes
1
Determine the efficacy of this screening AI algorithm, a prototype, in addition to or instead of screening of dry eye using a simple DEQ-5 symptom questionnaire.
DEQ-5 is aimed to detect dry eye cases, but not necessarily dry eye requiring specialist care. The AI algorithm picks up cases with central cornea staining, which can then be referred for specialist care. Non-referred cases can be managed with eyelid warming, artificial tears and advice, with the aim of rescreening at a later time.
Time frame
3 yearsSponsors and contacts
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Source ClinicalTrials.gov